nansen-agent-guide
Routing guide -- when to use `nansen agent` (AI research) vs direct CLI data commands. Use when deciding how to answer a user's…
Discover trending tokens — screener, SM holdings, Nansen indicators, and flow intelligence for promising finds. Use when scanning for new tokens or screening what's hot.
$ npx -y skills add nansen-ai/nansen-cli --skill nansen-token-screener --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nansen-token-screenerContext preview
The summary Claude sees to decide when to auto-load this skill.
Discover trending tokens — screener, SM holdings, Nansen indicators, and flow intelligence for promising finds. Use when scanning for new tokens or screening what's hot.
name: nansen-token-screener
description: "Discover trending tokens — screener, SM holdings, Nansen indicators, and flow intelligence for promising finds. Use when scanning for new tokens or screening what's hot."
metadata:
openclaw:
requires:
bins:
- nansen
primaryEnv: NANSEN_API_KEY
install:
- kind: node
package: nansen-cli
bins: [nansen]
allowed-tools: Bash(nansen:*)Browser login requests `nansen:api` for API-key-equivalent account API permissions; existing OAuth/MCP `nansen:read` semantics and separate wallet authorization are unchanged.
Before any research command or loop, require an explicitly selected API key or saved browser session. Run `nansen auth status` first. Its cached/unverified metadata does not prove credential validity or unlocked storage. Cached access-token expiry alone does not mean the session is unusable: the CLI normally renews a selected session automatically during an already-authorized research task, without another consent request or a separate account check. Stop on anonymous selection, invalid authentication state, blocked or uncertain renewal/cleanup, or an actual authentication failure, including rejected or expired refresh authority. Follow the CLI error guidance; use the free `nansen account` check when troubleshooting calls for it. Do not unset a failed key, erase a session or switch to anonymous access to retry.
Use `nansen login` for fresh browser approval within the documented platform scope, or configure a conventional API key. `NANSEN_API_KEY` overrides the saved session. OpenClaw's optional `primaryEnv` mapping preserves configured API-key injection; it is not a required-key gate or proof of authentication. Normal credits and entitlements apply. Login does not purchase credits. Browser login is available in CLI 2.0.0 within the [macOS arm64 preview scope](https://github.com/nansen-ai/nansen-cli/blob/main/docs/browser-login.md#preview-platform-scope).
API keys and browser sessions use the same automatic x402 payment behavior: a supported HTTP 402 challenge can spend funds from the configured wallet under existing wallet authorization, payment policy and spending limits. Each call, including calls in loops, can incur a payment. Authentication, authorization and session-renewal failures never trigger payment; login verification and `nansen account` never pay automatically. Anonymous x402 remains available as a separate paid workflow requiring explicit user intent and payment setup. Do not run this research workflow anonymously or switch to anonymous access after authentication fails.
**Answers:** "What tokens are trending and worth a deeper look?"
CHAIN=solana # Screen top tokens by volume nansen research token screener --chain $CHAIN --timeframe 24h --limit 20 # → token_symbol, price_usd, price_change, volume, buy_volume, market_cap_usd, fdv, liquidity, token_age_days # Smart money only nansen research token screener --chain $CHAIN --timeframe 24h --smart-money --limit 20 # Search within screener results (client-side filter over the fetched candidates). # Check _meta.search: complete=false means lower-ranked tokens were not searched — # widen with --limit 1000 or --paginate, or narrow with --filters. nansen research token screener --chain $CHAIN --search "bonk" # Smart money holdings — what SM wallets are holding nansen research smart-money holdings --chain $CHAIN --labels "Smart Trader" --limit 20 # → token_symbol, value_usd, holders_count, balance_24h_percent_change, share_of_holdings_percent # Nansen indicators for a specific token TOKEN=<address> nansen research token indicators --token $TOKEN --chain $CHAIN # → risk_indicators, reward_indicators (each with score, signal, signal_percentile) # Flow intelligence — only use for promising tokens from screener/indicators above nansen research token flow-intelligence --token $TOKEN --chain $CHAIN # → net_flow_usd per label: smart_trader, whale, exchange, fresh_wallets, public_figure # Nansen Score Top Tokens — "what should I buy?" (account API endpoint; normal entitlements apply) # Use this FIRST for discovery, then drill into individual tokens with `indicators` above nansen research token top-tokens --limit 25 nansen research token top-tokens --market-cap largecap --limit 10 # → chain, token_address, token_symbol, performance_score, risk_score, # per-indicator contributions, market_cap_group, latest_date, last_trigger_on
Screener timeframes: `5m`, `10m`, `1h`, `6h`, `24h`, `7d`, `30d`
Indicators: score is "bullish"/"bearish"/"neutral". signal_percentile > 70 = historically significant. Some tokens return empty indicators — not an error.
Results are pre-filtered to `performance_score >= 15` server-side and returned sorted by: 1. `performance_score` DESC 2. `market_cap_group` priority (largecap → midcap → lowcap) 3. `risk_score` DESC 4. 24h volume DESC
So row 0 is always the strongest candidate for the filter you applied — no client-side ranking needed.
Market cap buckets (used in both the sort priority and the `--market-cap` filter):
Every contribution is **ternary** — exactly one of `{negative, 0, positive}` per field. No partial values. Zero means "indicator didn't apply to this token" (out of scope), not "indicator was neutral".
**Performance Score (Alpha — "likely to outperform BTC over 7–30d")** Range: `-60 to +75` (arithmetic bounds; live max is closer to `+45` since no single token hits every positive indicator simultaneously). Buy threshold: `>= 15`. Sum of the five `*_performance` fields below. | Field | Contribution | Trigger | What the underlying indicator measures | |---|---|---|---| | `price_momentum_performance` | +30 / 0 | upstream score `bullish` → +30 | Price momentum, scored against separate thresholds for large-ca
Built by agents, for agents. Command-line interface for the Nansen API, designed for AI agents to research on-chain data, manage wallets, and trade through nansen trade. Use it for both analytics and execution: nansen research ...
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